AIMC Topic: United States

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AI as a New Frontier in Contrast Media Research: Bridging the Gap Between Contrast Media Reduction, the Contrast-Free Question and New Application Discoveries.

Investigative radiology Oct 12, 2023
Artificial intelligence (AI) techniques are currently harnessed to revolutionize the domain of medical imaging. This review investigates 3 major AI-driven approaches for contrast agent management: new frontiers in contrast agent dose reduction, the c...
United States Contrast Media United States Food and Drug Administration Artificial Intelligence Machine Learning Artifacts
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Sentiment Analysis of Tweets on Menu Labeling Regulations in the US.

Nutrients Oct 6, 2023
Menu labeling regulations in the United States mandate chain restaurants to display calorie information for standard menu items, intending to facilitate healthy dietary choices and address obesity concerns. For this study, we utilized machine learnin...
Machine Learning United States Public Opinion Sentiment Analysis Social Media Humans
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An interpretable machine learning model of cross-sectional U.S. county-level obesity prevalence using explainable artificial intelligence.

PloS one Oct 5, 2023
BACKGROUND: There is considerable geographic heterogeneity in obesity prevalence across counties in the United States. Machine learning algorithms accurately predict geographic variation in obesity prevalence, but the models are often uninterpretable...
Machine Learning Cross-Sectional Studies Prevalence Humans Artificial Intelligence United States Obesity
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Comparative Effectiveness Analysis of Lumpectomy and Mastectomy for Elderly Female Breast Cancer Patients: A Deep Learning-based Big Data Analysis.

The Yale journal of biology and medicine Sep 29, 2023
: To evaluate the comparative effectiveness of treatments, a randomized clinical trial remains the gold standard but can be challenged by a high cost, a limited sample size, an inability to fully reflect the real world, and feasibility concerns. The ...
Medicare Mastectomy, Segmental Comparative Effectiveness Research United States Mastectomy Deep Learning Big Data Humans Aged Female Breast Neoplasms
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Deep Learning Technology to Recognize American Sign Language Alphabet.

Sensors (Basel, Switzerland) Sep 19, 2023
Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools to facilitate effective communication. However, advancements in modern technology have paved the way for the development of various tools and software ...
Gestures United States Quality of Life Deep Learning Sign Language Humans Technology
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Beyond SEP-1 Compliance: Assessing the Impact of Antibiotic Overtreatment and Fluid Overload in Suspected Septic Patients.

The Journal of emergency medicine Sep 15, 2023
BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) developed the Severe Sepsis and Septic Shock Performance Measure bundle (SEP-1) metric to improve sepsis care, but evidence supporting this bundle is limited and harms secondary to comp...
Patient Care Bundles Aged Retrospective Studies Sepsis Water-Electrolyte Imbalance Humans Shock, Septic Reproducibility of Results Pulmonary Edema Anti-Bacterial Agents Emergency Service, Hospital Medicare United States
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Development of an ontology to characterize mental functioning.

Disability and rehabilitation Sep 13, 2023
PURPOSE OF THE ARTICLE: This article describes a conceptual and methodological approach to integrating functional information into an ontology to categorize mental functioning, which to date is an under-developed area of classification, and supports ...
Persons with Disabilities United States Natural Language Processing Humans United States Social Security Administration Disability Evaluation International Classification of Functioning, Disability and Health
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The Coming of Age of AI/ML in Drug Discovery, Development, Clinical Testing, and Manufacturing: The FDA Perspectives.

Drug design, development and therapy Sep 6, 2023
Artificial intelligence (AI) and machine learning (ML) represent significant advancements in computing, building on technologies that humanity has developed over millions of years-from the abacus to quantum computers. These tools have reached a pivot...
Machine Learning Precision Medicine United States United States Food and Drug Administration Drug Discovery Humans Artificial Intelligence
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An extremely lightweight CNN model for the diagnosis of chest radiographs in resource-constrained environments.

Medical physics Sep 4, 2023
BACKGROUND: In recent years, deep learning methods have been successfully used for chest x-ray diagnosis. However, such deep learning models often contain millions of trainable parameters and have high computation demands. As a result, providing the ...
United States Radiography National Institutes of Health (U.S.) Neural Networks, Computer
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The 510(k) Third Party Review Program: Promise and Potential.

Journal of medical systems Aug 29, 2023
Every year, the Food and Drug Administration (FDA) clears approximately 3,000 medical devices for marketing via the 510(k) pathway. These constitute 99% of all devices approved for human use and includes the premarket review of many devices incorpora...
United States Machine Learning Software Technology Humans Artificial Intelligence
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